Ew1z {bbreg} | R Documentation |
Auxiliary function required in the Expectation-Maximization algorithm (E-step) and in the calculation of the Fisher information matrix. It represents the conditional expected value E(W_i^s|Z_i), with s = -1; i.e., latent W_i^(-1) given the observed Z_i.
Ew1z(z, mu, phi)
z |
response vector with 0 < z_i < 1. |
mu |
mean parameter (vector having the same size of z). |
phi |
precision parameter (vector having the same size of z). |
Vector of expected values.